:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Jinbao, Tang, Hengxuan, Li, Songze, Chang, Yijia
Format:	Preprint
Publié:	2022
Sujets:	Information Theory Machine Learning
Accès en ligne:	https://arxiv.org/abs/2204.11168
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Private Multiple Linear Computation: A Flexible Communication-Computation Tradeoff
par: Zhu, Jinbao, et autres
Publié: (2024)

Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
par: Moradi, Parsa, et autres
Publié: (2024)

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
par: Tang, Tingting, et autres
Publié: (2021)

A General Coding Framework for Adaptive Private Information Retrieval
par: Zhu, Jinbao, et autres
Publié: (2025)

Computation-Utility-Privacy Tradeoffs in Bayesian Estimation
par: Chen, Sitan, et autres
Publié: (2026)

On Securing Analog Lagrange Coded Computing from Colluding Adversaries
par: Borah, Rimpi, et autres
Publié: (2024)

Flexible Coded Distributed Convolution Computing for Enhanced Straggler Resilience and Numerical Stability in Distributed CNNs
par: Tan, Shuo, et autres
Publié: (2024)

NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systems
par: Moradi, Parsa, et autres
Publié: (2024)

Private Collaborative Edge Inference via Over-the-Air Computation
par: Yilmaz, Selim F., et autres
Publié: (2024)

Integrated Sensing-Communication-Computation for Edge Artificial Intelligence
par: Wen, Dingzhu, et autres
Publié: (2023)

A Survey on Integrated Sensing, Communication, and Computation
par: Wen, Dingzhu, et autres
Publié: (2024)

Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
par: Wen, Dingzhu, et autres
Publié: (2025)

Novel Constructions for Computation and Communication Trade-offs in Private Coded Distributed Computing
par: Sasi, Shanuja, et autres
Publié: (2025)

Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
par: Reifert, Robert-Jeron, et autres
Publié: (2024)

Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
par: Rosenberger, Hans, et autres
Publié: (2025)

Separable Computation of Information Measures
par: Xu, Xiangxiang, et autres
Publié: (2025)

A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
par: Long, Nguyen Chi, et autres
Publié: (2025)

Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air
par: Azimi-Abarghouyi, Seyed Mohammad, et autres
Publié: (2024)

Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity
par: Dudeja, Rishabh, et autres
Publié: (2022)

Restrictions on Physical Stochastic Reservoir Computers
par: Polloreno, Anthony M.
Publié: (2023)

ZENN: A Thermodynamics-Inspired Computational Framework for Heterogeneous Data-Driven Modeling
par: Wang, Shun, et autres
Publié: (2025)

Dual-Lagrange Encoding for Storage and Download in Elastic Computing for Resilience
par: Zhong, Xi, et autres
Publié: (2025)

Straggler-Resilient Differentially-Private Decentralized Learning
par: Yakimenka, Yauhen, et autres
Publié: (2022)

Cost Minimization for Space-Air-Ground Integrated Multi-Access Edge Computing Systems
par: Qin, Weihong, et autres
Publié: (2025)

Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
par: Jin, Richeng, et autres
Publié: (2023)

Secure Coded Distributed Computing
par: Sasi, Shanuja, et autres
Publié: (2024)

Geometry, Computation, and Optimality in Stochastic Optimization
par: Cheng, Chen, et autres
Publié: (2019)

ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment
par: Jahani-Nezhad, Tayyebeh, et autres
Publié: (2023)

Unifying Summary Statistic Selection for Approximate Bayesian Computation
par: Hoffmann, Till, et autres
Publié: (2022)

Exploration-Exploitation Tradeoff in Universal Lossy Compression
par: Weinberger, Nir, et autres
Publié: (2025)

Privacy-aware Berrut Approximated Coded Computing for Federated Learning
par: Luaña, Xavier Martínez, et autres
Publié: (2024)

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
par: Thi-Thanh, Tam Ninh, et autres
Publié: (2025)

Computation-aware Energy-harvesting Federated Learning: Cyclic Scheduling with Selective Participation
par: Jeong, Eunjeong, et autres
Publié: (2025)

Uncoded Download in Lagrange-Coded Elastic Computing with Straggler Tolerance
par: Zhong, Xi, et autres
Publié: (2025)

Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
par: Lei, Eric, et autres
Publié: (2025)

Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels
par: Teku, Noel, et autres
Publié: (2024)

LoByITFL: Low Communication Secure and Private Federated Learning
par: Xia, Yue, et autres
Publié: (2024)

Computationally efficient reductions between some statistical models
par: Lou, Mengqi, et autres
Publié: (2024)

Communication-Constrained Private Decentralized Online Personalized Mean Estimation
par: Yakimenka, Yauhen, et autres
Publié: (2025)

Secure Computation-and-Forward with Linear Codes
par: Hayashi, Masahito, et autres
Publié: (2018)